中文摘要：

AEA（Alopex-based evolutionary algorithm）算法是一种基于Alopex的群体进化算法。本文在AEA的基础上提出了一种改进的算法QIAEA。QIAEA将AEA和二次插值法进行结合，极大提高了算法的收敛速度和精度。经过与ABC、GABC及AEA、LAEA的对比测试，证明此改进的有效性。最后我们将QIAEA应用在重油热解模型的参数估计中，进一步检验QIAEA的性能。

英文摘要：

The AEA algorithm is an evolutionary algorithm based on Alopex. In this paper, an improved algorithm QIAEA is proposed. Combined with quadratic interpolation and AEA, the QIAEA can have faster convergence speed and higher precision. Through the comparison with AEA, LAEA, ABC and GABC, the improvement is demonstrated to be effective. Finally, the QIAEA is applied to the parameter estimation of heavy oil thermal cracking three lumps model to test the performance of QIAEA.